| 1 | % 'ima_filter': example of image transform with input parameters: low-pass filter of an image
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| 2 |
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| 3 | %------------------------------------------------------------------------
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| 4 | %%%% Use the general syntax for transform fields with a single input and parameters %%%%
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| 5 | % OUTPUT:
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| 6 | % DataOut: output field structure
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| 7 |
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| 8 | %INPUT:
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| 9 | % DataIn: input field structure
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| 10 | % Param: matlab structure whose field Param.TransformInput contains the filter parameters
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| 11 | %-----------------------------------
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| 12 |
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| 13 | %-------------------------------------
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| 14 | function DataOut=ima_filter(DataIn,Param)
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| 15 |
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| 16 | %% request input parameters
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| 17 | if isfield(DataIn,'Action') && isfield(DataIn.Action,'RUN') && isequal(DataIn.Action.RUN,0)
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| 18 | prompt = {'npx';'npy'};
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| 19 | dlg_title = 'get the filter size in x and y';
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| 20 | num_lines= 2;
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| 21 | def = { '20';'20'};
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| 22 | if isfield(Param,'TransformInput')&&isfield(Param.TransformInput,'FilterBoxSize_x')&&...
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| 23 | isfield(Param.TransformInput,'FilterBoxSize_y')
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| 24 | def={num2str(Param.TransformInput.FilterBoxSize_x);num2str(Param.TransformInput.FilterBoxSize_y)};
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| 25 | end
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| 26 | answer = inputdlg(prompt,dlg_title,num_lines,def);
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| 27 | DataOut.TransformInput.FilterBoxSize_x=str2num(answer{1}); %size of the filtering window
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| 28 | DataOut.TransformInput.FilterBoxSize_y=str2num(answer{2}); %size of the filtering window
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| 29 | return
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| 30 | end
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| 31 |
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| 32 | DataOut=DataIn; %default
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| 33 |
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| 34 | %definition of the cos shape matrix filter
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| 35 | ix=[1/2-Param.TransformInput.FilterBoxSize_x/2:-1/2+Param.TransformInput.FilterBoxSize_x/2];%
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| 36 | iy=[1/2-Param.TransformInput.FilterBoxSize_y/2:-1/2+Param.TransformInput.FilterBoxSize_y/2];%
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| 37 | %del=np/3;
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| 38 | %fct=exp(-(ix/del).^2);
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| 39 | fct2_x=cos(ix/((Param.TransformInput.FilterBoxSize_x-1)/2)*pi/2);
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| 40 | fct2_y=cos(iy/((Param.TransformInput.FilterBoxSize_y-1)/2)*pi/2);
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| 41 | %Mfiltre=(ones(5,5)/5^2);
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| 42 | Mfiltre=fct2_y'*fct2_x;
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| 43 | Mfiltre=Mfiltre/(sum(sum(Mfiltre)));%normalize filter
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| 44 |
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| 45 | Atype=class(DataIn.A);% detect integer 8 or 16 bits
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| 46 | if numel(size(DataIn.A))==3
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| 47 | DataOut.A=filter2(Mfiltre,sum(DataIn.A,3));%filter the input image, after summation on the color component (for color images)
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| 48 | DataOut.A=uint16(DataOut.A); %transform to 16 bit images
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| 49 | else
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| 50 | DataOut.A=filter2(Mfiltre,DataIn.A)
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| 51 | DataOut.A=feval(Atype,DataOut.A);%transform to the initial image format
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| 52 | end
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| 53 | |
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